Sublinear Space Zero-Knowledge Proofs Democratize Verifiable Computation on Constrained Devices
New sublinear memory ZKPs shift resource constraints from linear to square-root complexity, unlocking verifiable computation on mobile and edge devices.
Sublinear Zero-Knowledge Proofs Unlock Ubiquitous Private Computation
A new proof system eliminates ZKP memory bottlenecks by achieving square-root scaling, enabling verifiable computation on all devices.
Payable Outsourced Decryption Secures Functional Encryption Efficiency and Incentives
Introducing Functional Encryption with Payable Outsourced Decryption (FEPOD), a new primitive that leverages blockchain to enable trustless, incentive-compatible payment for outsourced cryptographic computation, resolving a critical efficiency bottleneck.
Sublinear Prover Memory Unlocks Universal Zero-Knowledge Computation and Decentralization
Reframing ZKP generation as a tree evaluation problem cuts prover memory from linear to square-root complexity, enabling ubiquitous verifiable computation.
Recursive Zero-Knowledge Proofs Unlock Verifiable Private Computation Scaling
zkAdHoc introduces recursive proof aggregation to generate a constant-size proof for arbitrarily complex computation, enabling scalable on-chain verification.
Constant-Size Zero-Knowledge Set Membership Proofs Secure Resource-Constrained Networks
A novel OR-aggregation protocol leverages Sigma protocols to achieve constant proof size and verification time, unlocking scalable, private IoT data integrity.
Sublinear Memory Zero-Knowledge Proofs Democratize Verifiable Computation Globally
Introducing the first sublinear memory zero-knowledge proof system, this breakthrough enables verifiable computation on resource-constrained devices, fundamentally scaling ZK adoption.
NIST Lightweight Cryptography Standard Secures Resource-Constrained Decentralized Systems
The Ascon cryptographic primitive standardizes low-power security, enabling robust, side-channel-resistant data integrity for mass-market IoT and edge-node DLT.
OR-Aggregation Secures Efficient Zero-Knowledge Set Membership Proofs
A novel OR-aggregation technique drastically reduces proof size and computation for set membership, enabling private, scalable data management in IoT.
Sublinear Memory ZKPs Democratize Verifiable Computation and Privacy
A new proof system reduces ZKP memory from linear to square-root complexity, unlocking verifiable computation on resource-constrained edge devices.
Sublinear Space ZK Proofs Democratize Verifiable Computation at Scale
A new streaming prover reduces ZKP memory from linear to square-root scaling, enabling verifiable computation on resource-constrained edge devices.
Sublinear Memory Zero-Knowledge Proofs Democratize Verifiable Computation
A novel zero-knowledge proof system achieves sublinear memory scaling, fundamentally enabling privacy-preserving verifiable computation on ubiquitous resource-constrained devices.
Sublinear Space ZKP Prover Enables Efficient On-Device Verifiable Computation
A novel ZKP prover architecture significantly reduces memory footprint, enabling practical verifiable computation on resource-constrained devices, revolutionizing decentralized applications.
Sublinear Zero-Knowledge Provers Unlock Ubiquitous Verifiable Computation
This research pioneers a sublinear-space zero-knowledge prover, transforming ZKP accessibility for resource-constrained environments and expanding verifiable computation applications.
OR-Aggregation: Efficient Zero-Knowledge Set Membership for IoT Blockchains
This research introduces a novel OR-aggregation technique, enabling constant-size zero-knowledge proofs for set membership in resource-constrained IoT blockchain environments.
